X-ray Image Gain Correction for Bone Density Reproducibility
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Solution Overview
Problem
Existing X-ray generation apparatuses face challenges in achieving reproducible measurements of bone mineral density due to statistical output errors in X-ray generation.
Innovation Solution
An X-ray image processing apparatus is designed with a first obtaining unit for capturing X-ray images with and without an object, a second obtaining unit for measuring associated X-ray conditions, a gain correction unit for correcting the X-ray images based on these measurements, and an image generation unit for producing evaluation images to assess the object's state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If X-ray images are captured using conventional X-ray generation apparatus, then image data can be obtained, but statistical output errors in X-ray generation reduce the reproducibility of bone mineral density measurements
Solution Approach 1:
The system performs preliminary capture of gain images (X-ray images without objects) under various X-ray conditions before actual measurement. These pre-captured gain images serve as reference data for subsequent correction of object images, allowing the system to compensate for statistical output errors in advance and improve measurement reproducibility.
Solution Approach 2:
The system captures measured values of X-ray conditions during imaging and uses this feedback information to correct gain images and object images. By comparing actual X-ray conditions with reference conditions and applying correction based on the differences, the system compensates for statistical variations and improves measurement reliability.
2Measurement precision
If gain correction is performed using conventional methods, then some correction can be applied, but the accuracy of gain correction is insufficient due to uncorrected X-ray output errors
Solution Approach 1:
The system measures actual X-ray conditions (tube voltage, tube current, pulse width) during image capture and uses these measured values as feedback to correct gain images. By incorporating real-time measurement data into the correction process, the system achieves higher correction accuracy compared to conventional methods that do not use measured values.
Solution Approach 2:
The system performs gain correction by changing and adjusting multiple X-ray condition parameters including tube voltage, tube current, and pulse width based on measured values. This multi-parameter adjustment approach allows for more accurate correction of X-ray output errors compared to single-parameter correction methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus improves the accuracy of gain correction and enhances the reproducibility of bone mineral density measurements by reducing the influence of X-ray output errors.
Implementation Method 1
an X-ray tube 102, an X-ray aperture 103, a grid 104, an X-ray detector 105
Data Source
AI summary
An X-ray image processing apparatus comprising: a first obtaining unit configured to obtain a first X-ray image including an object; a second obtaining unit configured to obtain a first measured value associated with an X-ray condition of the first X-ray image, a second X-ray image that does not include the object, and a second measured value associated with an X-ray condition of the second X-ray image; a gain correction unit configured to correct the first X-ray image based on the first measured value, the second X-ray image, and the second measured value; and an image generation unit configured to generate an evaluation image for evaluating a state of the object based on a corrected image that is the first X-ray image corrected by the gain correction unit.